text stringlengths 38 1.54M |
|---|
from django.shortcuts import render
from django.http import HttpResponse
import json
import telepot
from telepot.loop import MessageLoop
from telepot.namedtuple import InlineKeyboardMarkup, InlineKeyboardButton
from django.http import HttpResponseForbidden, HttpResponseBadRequest, JsonResponse
from django.views.generic... |
import os
import pickle
import argparse
from itertools import product, cycle
from collections import defaultdict
import numpy as np
import tikzplotlib
import graphviz as gv
import matplotlib.pyplot as plt
import polytope
def policy_evaluation(P, R, gamma, policy):
""" Policy Evaluation Solver
We denote by ... |
from django.contrib import admin
from .models import java
admin.site.register(java)
# Register your models here.
|
#!/usr/bin/env python
from utils_new import *
def genDivs():
datesuffixes = [
('2016-01-01','1'),
('2016-01-02','1'),
('2016-01-03','1'),
('2016-01-04','0'),
('2016-01-05','0'),
('2016-01-06','0'),
('2016-01-07','0'),
('2016-01-08','0'),
('20... |
#!/usr/bin/python
import json
import socket
import sys
import time
import os
import array
import math
import sqlite3
import xdriplib
import mongo
# Datenhaendling zur Mongodatenbank. BG Values
openapsDBName='openaps.sqlite'
DBVersion=1
tableNameDBVersion='DBVersion'
tableNameWixeldata='WixelData'
tableNameSensordata... |
class Solution:
def constructMaximumBinaryTree(self, nums):
"""
:type nums: List[int]
:rtype: TreeNode
"""
if not nums:
return None
max_ = 0
for i in range(len(nums)):
if nums[max_] < nums[i]:
max_ = i
... |
import argparse
from sudoku.grid import Grid
def display_grid():
args = parse_args()
grid = Grid(args.filepath)
grid.print()
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('filepath', help='Path to file containing sudoku grid')
return parser.parse_args()
if __name__... |
import msvcrt, os
from MasterOfSudoku.visual import visual
# Kleine module om relevante key-presses te lezen
keys = {75: "left", 77: "right", 72: "up", 80: "down", 8: "del", 48: 0,
49: 1, 50: 2, 51: 3, 52: 4, 53: 5, 54: 6, 55: 7, 56: 8, 57: 9, 27: "escape", 13: "enter"}
diffs = ["easy", "medium", "har... |
import ROOT
import sys
from limittools import addPseudoData
infname=sys.argv[1]
#samplesWOttH=['ttbarOther','ttbarPlusCCbar','ttbarPlusBBbar','ttbarPlusB','ttbarPlus2B','singlet','wjets','zjets','ttbarZ','ttbarW','diboson']
samplesWOttH=['ttbarOther','ttbarPlusCCbar','ttbarPlusBBbar','ttbarPlusB','ttbarPlus2B']
ca... |
# two 1 or 0 -> true if they are same
a, b = input().split()
bool = int(a) == int(b)
print("%d" %bool)
|
# Generated by Django 3.1 on 2020-09-06 09:23
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Attendance',
fields=[
... |
import datetime
import pytest
from src import todo, core
@pytest.mark.parametrize(
"weekday,today,expected,description",
[
(
todo.Weekday.Monday,
datetime.date(2020, 11, 16),
datetime.date(2020, 11, 16),
"On Monday a Monday todo should return today.",
... |
class Solution:
def isBalanced(self, root: TreeNode) -> bool:
def helper(root: TreeNode) -> int:
if not root:
return 0
left = helper(root.left)
if left == -1:
return -1
right = helper(root.right)
if right == -1:
... |
from django.conf.urls import url
from django.contrib.auth import views as auth_views
from accounts.views import SignUp,CreateProfile,DetailProfile,VerifyProfile
app_name= 'accounts'
urlpatterns = [
url(r'^login/$',auth_views.LoginView.as_view(template_name= 'accounts/login.html'),name= 'login'),
url(r'^logout/... |
#!/usr/bin/python
#FIRST remome all <row> s
import xml.etree.ElementTree as et
from functools import reduce
def pc(s):
#PascalCase
s=s.text.strip()
return ' '.join(list(map(lambda w:w[0].upper()+w[1:],s.split(' ')))).strip()
#return reduce(lambda s,x:(s+' '+x).strip(),list(map(lambda w:w[0].upper()+w[1:],s.split(... |
#!/usr/bin/python3
# pybuster
# A dir buster clone that doesn't derp out when a connection fails.
#
# Laurance Yeomans 2018
#
# Why:
# dirb has a sad when it fails and stops.
# This adds a 5 sec time out before trying again.
#
# No license. Do whatever with it.
import requests
import sys
import time
import signal
#... |
"""
Write a program that contains a function called drawRegularPolygon where you
give it a Turtle, the number of sides of the polygon, and the side length and it
draws the polygon for you
"""
import turtle
def draw_regular_polygon(t, n_sides, side_length):
i = 0
while i < n_sides:
t.forward(side_lengt... |
n = int(raw_input())
for _ in xrange(n):
name, started, dob, courses = raw_input().split()
if int(started[:4]) >= 2010:
print "%s eligible" % name
elif int(dob[:4]) >= 1991:
print "%s eligible" % name
elif int(courses) > 40:
print "%s ineligible" % name
else:
print "%... |
import numpy as np
import pandas as pd
def l2_normalization(vectors):
return vectors / np.linalg.norm(vectors, ord=2, axis=1).reshape(vectors.shape[0], 1)
def combine_content2vec_and_skill2vec_one_taxonomy(content2vec_path, skill2vec_path, output_path):
content2vec = pd.read_csv(content2vec_path, index_col=... |
import threading
from ftplib import FTP
import sys
def save_ftp( filename , my_ftp_url ,my_ftp_username ,my_ftp_password , my_ftp_remote_path , my_local_path):
ftp = FTP(my_ftp_url )
ftp.login(my_ftp_username, my_ftp_password)
ftp.cwd(my_ftp_remote_path)
file = open(my_local_path+filename,'rb'... |
lst = ["Vienna", "London", "Paris", "Berlin", "Zurich", "Hamburg"]
fruitList = {"Apple","manago"}
for f in fruitList:
print(f) |
"""
Defines how the style of the input text is to be parsed into a complete book.
This depends upon the formatting of the input, and needs to be customized
based on the style that it was originally written.
"""
class StyleSheet(object):
def __init__(self):
object.__init__(self)
def update_section(se... |
from django.contrib import admin
from .models import FishDist, FishAsso, PrvType, Prvs
# Register your models here.
admin.site.register(FishDist)
admin.site.register(FishAsso)
admin.site.register(PrvType)
admin.site.register(Prvs) |
from __future__ import absolute_import
import uuid
from datetime import datetime
from enum import Enum
from sqlalchemy import Column, DateTime, ForeignKey, String, Text, Integer
from sqlalchemy.dialects.postgresql import ARRAY
from sqlalchemy.orm import relationship
from sqlalchemy.schema import Index, UniqueConstrai... |
#Penn State Abington
#IST 440W
#Fall 2016
#Team Pump Your Brakes
#Members: Abu Sakif, David Austin, Qili Jian, Abu Chowdhury, Gary Martorana, Chakman Fung
import os
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BOARD)
GPIO.setwarnings(False)
GPIO.setup(11,GPIO.OUT)
p = GPIO.PWM(11,50)#PWM'Pulse-width Modulation' puts pin... |
#!/usr/bin/env python
# encoding: utf-8
# author: AlisaAlbert
# 2019/5/19 12:26
import pandas as pd
import numpy as np
import pickle
import time,os
from multiprocessing import Pool
import pymysql
import warnings
warnings.filterwarnings('ignore')
pd.set_option('display.max_rows', 100)
pd.set_option('display.max_columns... |
#!/usr/bin/env python
import sys, math
def changeBaseFromTen(num,base):
digits = []
while num > 0:
digits.insert(0, str(num % base))
num /= base
return "".join(digits)
def isHappy(num,base):
thisNum = changeBaseFromTen(num,base)
numsPassed = [thisNum]
while (thisNum != "1"):
... |
import urllib.request,re
import random
def ip():
thisurl = "https://seofangfa.com/proxy/"
date = urllib.request.urlopen(thisurl).read().decode("utf-8", "ignore")
pat = '((\\d+\\.\\d+\\.\\d+\\.\\d+).*?(\\d+))'
res1 = re.compile(pat, re.S).findall(date)
thisip =[]
for i in res1:
res = re... |
import turtle
from turtle import *
import random
#make a screen
win = turtle.Screen()
win.bgcolor("black")
win.setup(800,600)
#make a turtle
ruba = turtle.Turtle()
ruba.color("yellow")
ruba.shapesize(2,2)
ruba.speed(0)
#color list for the square:
color_list = ["yellow", "gold", "orange", "red", "maroon", "violet",... |
#
# This is a primitive script to parse the output of cdfIntegrate, and
# to generate a set of files (one for each track) that contains some of
# the integration results.
#
# It is intended as an example from which more useful scripts can be
# generated.
#
import sys, re, regex, regsub, math
from math import sqrt, atan... |
# Copyright 2014 Mirantis Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... |
from skimage import io,color
import matplotlib.pyplot as plt
def negative_image(img):
return 255 - img
img = io.imread('./images/negative_image.jpg')
img_gray = color.rgb2gray(img)
negative_img = negative_image(img_gray)
plt.figure(1)
plt.subplot(1,2,1)
plt.imshow(img)
plt.title('Original Imag... |
# encoding: UTF-8
import datetime
def get_modified_date():
'''
获取当前时间的字符串形式
:return:
'''
modified_date = datetime.datetime.now()
modified_date = modified_date.strftime("%Y-%m-%d %H:%M:%S")
return modified_date
def split_dt_list(start_dt, end_dt):
'''
根据输入的日期,输出分割的日期，按照月分割
:pa... |
import pygame
from pygame import *
class Player():
def __init__(self,x,y,w,h,vel,sprite,s_w,s_h):
self.x=x
self.y=y
self.w=w
self.h=h
self.vel=vel
self.sprite=sprite
self.s_w=s_w
self.s_h=s_h
self.walkcount=0
self.hitbox=pygame.Rect... |
#!/usr/bin/python3
# -*- coding: UTF-8 -*-
# harmonictook.py - Main game file
import math
import random
import utility
import argparse
import unittest
import statistics
class Player(object):
def __init__(self, name = "Player"):
self.name = name
self.order = 0
self.isrollingdice = False
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 29 13:21:41 2020
@author: rahul
"""
#--------------------------------------------------Importing Libraries----------------------------------------------------
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_spli... |
#plotting a graph using data of a CSV file
import matplotlib.pyplot as plt
import csv
#file location of the csv file
filename = "D:\Sheet1.csv"
x = []
y = []
#opening csv file to read
with open(filename, 'r') as csvfile:
csvreader = csv.reader(csvfile, delimiter=",")
#iterating over the objects in csv file
... |
# matplotlib
# 1. 그래프그리기.
1. X는 0~99, Y는 0~99로 변수정하고 이를 plot해라
2. X_1은 100까지, Y_1은 y=cos(x), X_2도 100까지, Y_2는 y=sin(x),그리고 추가로 y=x도 plot을 한번에하셈.
3. 10*10 inch의 figure set을 만들고 각각 1,2,1/1,2,2의 2개의 판을 넣는다.
첫번재판엔 위의 cos, 두째판엔 sin 그래프넣어라.
#color
4. x= 0~100, y=x, y=x+100을 plot해라.단 wjswksms 색깔 '#000000', 후자는 'c'... |
import numpy as np
import cv2
#Reading the images
logo= cv2.imread('python_logo.jpg',cv2.IMREAD_COLOR)
img1= cv2.imread('test_image_1.jpg',cv2.IMREAD_COLOR)
img2 = cv2.imread('test_image_2.jpg',cv2.IMREAD_COLOR)
sized_logo = cv2.resize(logo, (128, 128))
sized_img1 = cv2.resize(img1, (512, 512))
sized_img2... |
a, b = 1, 2
sum = 0
while b < 4000000:
print "a:" + str(a) + " b:" + str(b),
if b % 2 == 0:
sum += b
print " sum:" + str(sum)
a, b = b, a+b
|
import pytorch_lightning as pl
import segmentation_models_pytorch as smp
import torch
from torch.optim.lr_scheduler import CosineAnnealingLR
from torch.utils.data import DataLoader
from data.dataset_seg import IntracranialDataset
from models.commons.get_base_model import load_base_weights
from models.commons.radam imp... |
from datetime import datetime
import uuid
from django.db import models
from stdimage.models import StdImageField
# Create your models here.
class Blog(models.Model):
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
category = models.ForeignKey('Category',on_delete=models.SET_DEF... |
#import time
HELP = """
help - выводить список команд
add - добавить задачу
show - показать задачи
done - убрать выполненную задачу
exit - закрыть приложение
"""
todo = {}
def checkDate(date):
try:
time.strptime(date, "%d.%m.%Y")
return True
except ValueError:
print("Error. Не правильный формат да... |
# Generated by Django 2.0.3 on 2018-03-25 00:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0005_playercharacter_knocked_down'),
]
operations = [
migrations.AddField(
model_name='monstercharacter',
na... |
import math
import random
random.seed(101)
m = int(input('M: '))
n = int(input('N: '))
initial_sequence = input('Starting action_sequence (West: w, East: e, North: n, South: s): ').split()
# move_cost: North, South, West, East
# move_cost = [2, 2, 2, 2]
move_cost = [random.randint(2, 5), random.randint(... |
# Generated by Django 3.0.5 on 2020-05-01 22:48
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('base', '0012_access_user'),
]
operations = [
migrations.RemoveField(
model_name='access',
name='user',
),
]
|
import os
import subprocess
import sys
from contextlib import contextmanager
from tempfile import NamedTemporaryFile
import pytest
import requests
import ray
import ray.actor
import ray._private.state
from ray.util.state import list_actors
from ray import serve
from ray._private.test_utils import wait_for_condition
... |
import logging
from typing import Dict, Iterable
import pymorphy2
from .utils import Singleton
logger = logging.getLogger(__name__)
class Inflector(metaclass=Singleton):
def __init__(self) -> None:
self._morph = pymorphy2.MorphAnalyzer()
def inflect_to_case(self, string_to_inflect: str, case: str... |
# frame_grabber.py - Frame grabber for full resolution stills from video
# Mainained by Anthony Spears aspears@gatech.edu
# Internal note: Using virtualenvwrapper - $ workon frame_grabber
# The output png files are named based on KITTI dataset formats
import ffmpeg
import cv2
import sys
###########################... |
import pickletools as pt
import pikara.analysis as pa
from .test_parse import ops
def test_NONE():
po = pa.PickledObject.for_parsed_op(ops.NONE, None)
assert po.pickletools_type is pt.pynone
assert po.value is None
def test_NEWFALSE():
po = pa.PickledObject.for_parsed_op(ops.NEWFALSE, None)
as... |
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 1 16:38:37 2018
@author: Inki Kim's lab
"""
import pandas as pd
import numpy as np
import os
os.chdir('G:\\Resource for Xiang\\Lian Cui experiment\\eyetracking data\\2.New Experiment\\4.analysis\\eyetracking\\2.Sycronized data')
outputpath = 'G:\\Resource for... |
from verce.processing import *
import socket
import traceback
import json
class specfemMakeMovieSurface(SeismoPreprocessingActivity):
def compute(self):
try:
userconf = json.load(open(self.parameters["solver_conf_file"]))
... |
import copy
def get_max_nodes_rooted_at(node, parent, graph):
children = copy.deepcopy(graph[node])
if parent != None:
children.remove(parent)
if len(children) == 0 or len(children) == 1:
return 1
results = []
for child in children:
results.append(get_max_nodes_r... |
import onmt
def split_line_by_char(line, word_list=["<unk>"]):
chars = list()
words = line.strip().split()
for i, word in enumerate(words):
if word in word_list:
chars.append(word)
else:
for c in word:
chars.append(c)
if i < (len(words) - ... |
import json
import random
import re
import time
import uuid
from enum import Enum
from typing import List, Set, Optional
from room.participant import Participant
from utils import remove_chinese_punctuation, sum_dict
from .word_bank import Word, WordBank
class WordGuessingGameRole(str, Enum):
GUESSER = "guesser... |
import pygame
w,h = 800,600
window = pygame.display.set_mode((w,h))
bg = pygame.transform.scale(pygame.image.load("bg.jpg"), (w,h))
game = True
while game:
for e in pygame.event.get():
if e.type == pygame.QUIT:
game = False
window.blit(bg, (0,0))
pygame.... |
from sklearn.feature_extraction import DictVectorizer
from pandas import DataFrame
import numpy as np
from functools import *
from sklearn.ensemble import RandomForestClassifier
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
sns.set(color_codes=True)
tuned_parameters = {'n_estimators': [20... |
import tassle
import time
import multiprocessing
import numpy as np
from scipy.signal import welch
from dask.distributed import as_completed
from dask.distributed import Client
from dask_jobqueue import SLURMCluster
def main(n=100, processes=64, days=1):
# Set up cluster
cluster = SLURMCluster(queue='regular'... |
from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from .models import Event, InvitationsSent
class CreateEventSerializer(serializers.Serializer):
title = serializers.CharField()
venue = serializers.CharField()
start_time = serializers.DateTimeField()
end_tim... |
from numpy import*
from numpy.linalg import*
mat = array(eval(input("digite: ")))
vet = zeros(shape(mat)[0],dtype=int)
for i in range(size(vet)):
for j in range(7):
vet[i] += mat[i,j]
print(vet) |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('nopims', '0008_auto_20140910_0558'),
]
operations = [
migrations.AlterField(
model_name='master',
na... |
from mini.Lexer import *
from mini.Parser import *
from mini.Interpreter import *
################################################################################
## RUN
################################################################################
def run(a_file_name, a_command):
lexer = Lexer(a_file_name, a_c... |
#!/usr/bin/python
#
# Copyright (C) 2010 Google Inc.
""" Builds SQL strings.
Builds SQL strings to pass to FTClient query method.
"""
import re
__author__ = 'kbrisbin@google.com (Kathryn Hurley)'
class SQL:
""" Helper class for building SQL queries """
def showTables(self):
""" Build a SHOW TABLES sql st... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
ds = pd.read_csv('train.csv')
#print(ds.head(10))
#print(ds.shape)
#prin... |
import os
try:
os.makedirs('/data/test/01/02', mode=0o770)
except FileExistsError as e:
print(e)
|
from multiprocessing import Process, Queue
import time
def producer(q_production):
num = 1
while True:
print("q_production")
try:
q_production.put_nowait(num)
except:
pass
num = num + 1
def consumer(q_consume):
while True:
try:
n... |
import paho.mqtt.client as paho
import socket
import ssl
import json
import base64
from imutils import paths
from pyimagesearch import config
from time import sleep
connflag = False
def on_connect(client, userdata, flags, rc): # func for making connection
global connflag
print("Connected to A... |
from django.db import models
from django.template.loader import render_to_string
class Room(models.Model):
def __unicode__(self):
return "%s" % (self.name,)
name = models.CharField(max_length=80)
description = models.TextField()
def send(self, msg):
for char in self.char_set.all():
... |
#!/usr/bin/env python3
import hashlib
import os
import logging
import json
import uuid
import redis
import requests
import subprocess
SOS_URL = 'http://sos:8280'
SOS_PORT = '8280'
STATUS_OK = requests.codes['ok']
STATUS_BAD_REQUEST = requests.codes['bad_request']
STATUS_NOT_FOUND = requests.codes['not_found']
LOG = l... |
budget = float(input())
count_product = 0
total_price = 0
product = input()
while product != "Stop":
count_product += 1
price = float(input())
if count_product % 3 == 0:
price /= 2
total_price += price
if total_price > budget:
break
product = input()
if total_price <= bud... |
import pymongo
from pymongo import Connection
#new authenticate in progress below:
def floop(x,u,p):
res=x
for r in res:
if r['user']==(u):
if r['pw']==(p):
return True
return False
def mfloop(x,u):
res=x
for r in res:
if r['user']==(u):
retu... |
import numpy as np
from scipy.io import loadmat
import scipy.optimize as opt
import matplotlib.pyplot as plt
from PIL import Image
#loading DATA
data=loadmat('D:\Desktop\MACHINE LEARNING\Models\machine-learning-ex3\ex3\ex3data1.mat')
X=data['X']
y = data['y']
#loading Weights
weights=loadmat('D:\Deskt... |
import docker
import os
import shutil
import uuid
import time
from docker.errors import *
# Start up docker client.
client = docker.DockerClient()
# Image uploaded to Docker; contains environment to run code for Java, Python, and C++.
IMAGE_NAME = 'dannyhp/coderpad_env'
# Code file created in temporary build director... |
import torch
from torch import nn, tensor, bool
import torch.nn.functional as F
from torch.nn.parameter import Parameter
from torch.utils.data import DataLoader
from torchvision.transforms import ToTensor
from torch.nn.utils import prune
from torch.nn import Conv2d, Conv1d
class VariationalDropout(object):
def __... |
class A():
def __init__(self):
self.__private()
self.public()
def __private(self):
print('__private() method of A')
def public(self):
print('public() method of A')
class B(A):
def __private(self):
print('__private() method of B')
def public(self):
prin... |
__author__ = 'haywire'
from yowsup.layers.interface import YowInterfaceLayer, ProtocolEntityCallback
from yowsup.layers.protocol_messages.protocolentities import TextMessageProtocolEntity
from yowsup.layers.protocol_receipts.protocolentities import OutgoingReceiptProtocolEntity
from yowsup.... |
from django.urls import path
from api import views
urlpatterns = [
path('login/', views.MyTokenObtainPairView.as_view(), name='login'),
path('signup/', views.SignUp.as_view(), name='signup'),
path('<str:store_uuid>/products/<str:barcode>/',
views.ProductView.as_view(), name='product-detail'),
... |
# Example 1: asynchronous requests with larger thread pool
import asyncio
import concurrent.futures
import requests
import random
import time
import sys
import datetime
from numpy import random
counter = 0
generatedRequests = []
random.seed(0)
maxWorkers = int(sys.argv[1])
lambdaValue = int(sys.argv[2])
runningDurat... |
from django.core.management.base import BaseCommand
from django.db.models import Count, Avg, F
from annotation.models import Eficaz_prediction
import sys
###! Create pseudo-ROC curve?
class Command(BaseCommand):
help = 'COMMAND BRIEF'
def handle(self, *args, **options):
"""... |
import pandas as pd
import os
os.chdir("C:\\Users\\arman\\OneDrive\\Desktop\\2020\DataCamp\\15 Merging_Data_Frames_Pandas\\01_Preparing_Data\\Summer Olympic medals")
os.getcwd()
os.listdir("C:\\Users\\arman\\OneDrive\\Desktop\\2020\DataCamp\\15 Merging_Data_Frames_Pandas\\01_Preparing_Data\\Summer Olympic medals"... |
import csv
import pandas as pd
import numpy as np
import sys
sys.__stdout__ = sys.stdout
df = pd.read_csv('review.csv', delimiter=",", encoding='utf-8')
print(df.head())
header_rows = []
##group = x.groupby('business_id')['text'].unique()
##framed = group[group.apply(lambda x: len(x)>1)]
##print(framed.... |
#! /usr/bin/env python3
''' Python Script to understand the Python topics Scopes, Closures and Decorators '''
# Decorator Application - Decorator Class
# - This is because we can an object can be made callable
def dec_fac(a, b):
def dec(fn):
def inner(*args, **kwargs):
print('Decorated funct... |
'''
LF2: Lambda proxy for API gateway to search photos based on user query
'''
import boto3
from requests_aws4auth import AWS4Auth
import json
import logging
import requests
import os
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
lex_bot_name = os.environ.get('LEX_BOT_NAME')
elastic_search_host = o... |
# intialize the batch size and number of epochs for training
batch_size = 32
epochs = 40
# test-train split ratio
split = 0.25
# path to save the features
path_feature_train = 'output/features_train.npy'
path_feature_test = 'output/features_test.npy'
# class weights, this is because there is class
# imbalance betwee... |
from __future__ import annotations
from prettyqt import constants, core, eventfilters, widgets
CC = widgets.QStyle.ComplexControl
SC = widgets.QStyle.SubControl
class SliderMoveToMouseClickEventFilter(eventfilters.BaseEventFilter):
ID = "slider_move_to_mouse_click"
def _move_to_mouse_position(self, scroll... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
提供矩阵支持，以及矩阵相关的数值计算模块（包含最优化、线性代数、积分、插值、拟合、特殊函数、快速傅里叶变换、信号处理和图像处理、常微分方程求解等功能）
"""
|
import numpy as np
import cv2
import ccv
import cropper
import filefinder
import lbp
import tester
import classify
# define a main function
def main():
training = np.loadtxt("out.txt")
#training = filefinder.getTrainingData()
trainingdata = training[:,range(0,128)].astype(np.float32)
size ... |
from django.contrib.auth.models import AbstractUser
from django.db import models
class Tag(models.Model):
description = models.CharField(max_length=200, blank=True, null=True, default=None, auto_created=True)
def __str__(self):
return self.description if self.description is not None else '????????'
... |
from __future__ import unicode_literals
import socket, threading, os
import tornado.web, tornado.websocket, tornado.ioloop, tornado.iostream
import json
class NADClient(object):
def __init__(self, host, receive_callback):
self.host = host
self.port = 23
self.receive_callback = receive_call... |
from rest_framework import generics
from ..serializers import ToastingSerializer
from ..models import Toasting
class ToastingListCreateView(generics.ListCreateAPIView):
queryset = Toasting.objects.all()
serializer_class = ToastingSerializer
|
# Leetcode problem 13.
# Convert roman numerals to integers
def rom_to_int(num):
conv = {'M':1000,'D':500,'C':100,'L':50,'X':10,'V':5,'I':1}
res = 0
for i in range(len(num)):
value = conv[num[i]]
if i+1 < len(num) and conv[num[i+1]] > value:
res -= value
else:
res += value
return res
nu... |
#-*- coding: utf-8 -*-
from __future__ import print_function
import iterL1 as itr
import numpy as np
x = np.arange(1000)/1000.0
Gorig = np.column_stack((x,np.sin(2*np.pi*x*1000.0/200.0)))
G = np.column_stack((x,np.ones(x.size)))
tval = np.array([5,0.5])
y = np.dot(Gorig,tval)
m,S = itr.L1error_BS(G,y, ngroup=25, ... |
from Artist import *
from User import *
from KNN import *
import random
import time
import numpy as np
import matplotlib.pyplot as plt
def readFile(filepath, filelist):
""" read the data file from the filepath/filename """
data = []
for filename in filelist:
f = open(filepath+filename,"r")
filedata = []
# rea... |
import RPi.GPIO as GPIO
import time
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re
from RpiMotorLib import rpiservolib
import schedule
import functools
#Protect against exceptions
def catch_exceptions(cancel_on_failure=False):
def catch_exceptions_decorator(job_func):
@functools.wra... |
import cv2
import numpy as np
import imutils
class ImageFeatures:
def __init__(self, bins):
self.bins = bins
def getFeatures(self, image):
image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
features = []
(h, w) = image.shape[:2]
(cw, ch) = (int(w * 0.5), int(... |
class KMP:
def __init__(self, needle):
"""
https://ja.wikipedia.org/wiki/クヌース–モリス–プラット法
:param typing.Sequence needle: 何を検索するか
"""
self._needle = needle
kmp = [0] * (len(needle) + 2)
kmp[0] = -1
kmp[1] = 0
i = 2
j = 0
while i < ... |
# Copyright (c) 2014-2019 Cloudify Platform Ltd. All rights reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... |
"""
.. module:: gene_cross_reference_file_generators
:platform: any
:synopsis: Module that generates the Gene Cross Reference files
.. moduleauthor:: AGR consrotium
"""
import os
import logging
import csv
import json
from upload import upload
from headers import create_header
from validators import json_vali... |
# CS121 Linear regression
# General purpose model representation and selection code
#NAME: ALEISTER MONTFORT
#CNETID: 12174240
import numpy as np
import matplotlib.pylab as plt
import math
from asserts import assert_Xy, assert_Xbeta
#from dataset import DataSet
#############################
# ... |
# coding=utf-8
# Copyright 2022 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.